Akriti Mehta
@akritimehta
CS engineer focused on AI/ML, software development & backend systems. Building practical AI solutions with Python, FastAPI, Docker & RAG.
What I'm looking for
I’m a Computer Science student with hands-on experience in Python, machine learning, and data analysis. I’m motivated by building intelligent systems that solve real-world challenges through AI-driven approaches.
Across my projects, I’ve built agentic and predictive workflows end-to-end—using tools like n8n, OpenAI, Pinecone, and Google APIs for context-aware Q&A and automated Gmail responses. I also developed a predictive maintenance pipeline with Python, XGBoost, Pandas, SQL, and Apache Airflow to preprocess data, detect anomalies, and visualize equipment health with Tableau dashboards.
I’m equally excited by product-oriented AI engineering, demonstrated through an AI sales automation platform using FastAPI, React.js, PostgreSQL, LangChain, Pinecone, and Docker. I enjoy combining agentic workflows with analytics to automate CRM actions and deliver real-time sales insights, and I actively contribute to open-source via the GirlScript Summer of Code in the AI/Agentic track.
Experience
Work history, roles, and key accomplishments
AI and Applications Intern
Codewin Software
Jun 2026 - Present (2 months)
Built AI-powered Python applications integrating LLM APIs, engineered optimized prompts for improved contextual accuracy, and
collaborated in agile teams using Git/GitHub.
Worked on data science workflows using RapidMiner, including data preprocessing, exploratory data analysis, feature engineering, classification and regression models, model evaluation, and visualization. Applied machine learning techniques to analyze datasets and develop data-driven solutions.
Education
Degrees, certifications, and relevant coursework
IMS Engineering College
Bachelor of Technology, Computer Science
2023 -
Grade: 8.3 CGPA
Pursuing a Bachelor of Technology in Computer Science with a CGPA of 8.3. Completed relevant coursework in DSA, DBMS, Machine Learning, Artificial Intelligence, and model evaluation and completed projects on these domains.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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